Evidence map›Paper›PMID 36005725›Full record

ArticleMembranes2022

Cake Layer Fouling Potential Characterization for Wastewater Reverse Osmosis via Gradient Filtration.

Rulu Ouyang, Bin Huang, Chun-Hai Wei, Hongwei Rong, Huarong Yu, Fangshu Qu, Kang Xiao, Xia Huang

Abstract read
In one paragraph

Article in Membranes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rulu OuyangDepartment of Municipal Engineering, School of Civil Engineering, Guangzhou University, Guangzhou 510006, China.
Bin HuangChina Railway Conservancy & Hydropower Planning and Design Group Co., Ltd., Nanchang 330029, China.
Chun-Hai WeiDepartment of Municipal Engineering, School of Civil Engineering, Guangzhou University, Guangzhou 510006, China.ORCID 0000-0002-4336-8556
Hongwei RongDepartment of Municipal Engineering, School of Civil Engineering, Guangzhou University, Guangzhou 510006, China.
Huarong YuDepartment of Municipal Engineering, School of Civil Engineering, Guangzhou University, Guangzhou 510006, China.
Fangshu QuDepartment of Municipal Engineering, School of Civil Engineering, Guangzhou University, Guangzhou 510006, China.
Kang XiaoCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China.ORCID 0000-0001-6475-1960
Xia HuangState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.

Funding

National Natural Science Foundation of China 51778599, 52170071Natural Science Foundation of Guangdong Province 2022A1515011909Open Project of State Key Joint Laboratory of Environmental Simulation and Pollution Control in Tsinghua University 21K05ESPCTScience and Technology Planning Project of Guangzhou 202102010417Youth Innovation Promotion Association CAS 2019172
6 · The paper itself

Abstract

It is of great importance to quantitatively characterize feed fouling potential for the effective and efficient prevention and control of reverse osmosis membrane fouling. A gradient filtration method with microfiltration (MF 0.45 μm) → ultrafiltration (UF 100 kDa) → nanofiltration (NF 300 Da) was proposed to extract the cake layer fouling index,

Indexed as

cake layer fouling indexfouling potentialgradient filtrationmodel foulantsreal wastewaterreverse osmosissingle and combined membrane fouling models

Identifiers

PMID36005725
PMCPMC9414383

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.